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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based
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molecular biological methods interest in the interactions between ecology and public health basic programming skills (e. g. Python, R) will be a plus knowledge in entomology will be useful good command
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programming skills (Python; ideally with experience in databases and cloud environments). Experience in image analysis and computer vision, ideally in the context of biological samples or materials science
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such as R or Python, and word processing and spreadsheet programs Very good data processing skills, ideally with a focus on remote sensing Very good written and spoken English and German (each at least B2
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focus on physical and mathematical aspects is required. In addition, scientific programming skills (preferably in Python) and experience with numerical models are essential. Desirable qualifications
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informatics or AI Good knowledge in programming with python and on software development Knowledge on LLMs and langchain is a plus Analytical and structured mindset Good knowledge of the English and German
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that complement your profile: Ideally, you have already gained scientific programming experience in Python, particularly with the Qiskit framework. You use your excellent English skills confidently and
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biochemistry, molecular biology, biophysics or a related field of the life sciences or engineering. Solid understanding of RNA biology, ribosome and translation mechanisms Experience with R, Python or MatLab
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of potentially novel modes of protein binding is possible in collaboration with other members of the lab. Desired (but not absolutely required) skills: programming in python, machine learning, and experience in
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. The working language of the lab is English; knowledge of the German language is not necessary. Experience in computational image analysis, deep learning, and strong coding skills (Python, R) are required